Senior Health Data Analyst

Veeva Systems

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
New York City, NY
Salary
$80,000–$125,000 / yr
Posted
52 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $102k
$64k most similar roles pay here $227k

This role pays less than 95% of similar roles. Most pay $140,000–$200,000 — the shaded band above. At the midpoint, this role pays about $102k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Veeva Systems

Veeva Systems is a cloud software company serving the global life sciences industry, providing CRM, clinical, regulatory, quality, and data applications used by pharmaceutical and biotech companies.

Veeva Systems currently has 93 open roles on FindRole.

Listed pay typically runs $80,000–$165,000 across 82 roles with salary data.

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View all roles at Veeva Systems

At a glance

TL;DR · Senior Health Data Analyst

Senior Health Data Analyst - Compass joins the Analytics team to support the Compass Patient data product. This role focuses on managing health data investigations, improving data quality through defined metrics and dashboards, and collaborating with cross-functional teams to launch features that enhance data at scale across billions of records. The successful candidate will resolve data observations from internal and external stakeholders, build standard templates for consistency, and design capabilities such as match, merge, dedupe logic, and reference mappings. Key responsibilities include managing analytics projects on the product roadmap and tracking metrics for payer data, labs, and prescribers. Required skills include advanced SQL for relational databases, knowledge of ICD, CPT/HCPCS, and NDC billing codes, and experience with medical claims and prescription data. Preferred technical skills include Python and Sigma.

What you'll do

  • Investigate and resolve data observations and questions from internal and external stakeholders.
  • Identify product improvements by analyzing the impact of the product pipeline on health data.
  • Create standard templates and practices to streamline data quality across target domains.
  • Manage key analytics projects within the established data and feature roadmaps.
  • Design new features for data analysis and quality, including match, merge, dedupe logic, and reference mappings.
  • Establish quality metrics and build dashboards to drive continuous improvement of data products.
  • Analyze prescription and medical claims data using advanced SQL to identify trends and behaviors.

What we're looking for

  • You must have 4+ years of experience analyzing prescription data and medical claims data.
  • Advanced SQL skills are required to query and manipulate relational databases.
  • Knowledge of industry standard billing codes such as ICD, CPT/HCPCS, and NDC is required.
  • Experience documenting and presenting analytics results with stakeholders is required.
  • Experience defining KPIs and building dashboards to measure success is required.
  • Experience in Python (preferred).
  • Experience with the BI tool Sigma (preferred).
  • Experience in commercial life science use cases or enterprise products (preferred).

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